Pranjal Naman

Employment

• Indian Institute of Science Bangalore PhD Student
  2022 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks
  2026 DOI: 10.1145/3806645.3807597
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• Computing Temporal Graph Centrality Measures over Billion-scale Financial Networks
  2026 DOI: 10.1145/3810460.3812778
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• OptimES: Optimizing federated learning using remote embeddings for graph neural networks
  Journal of Parallel and Distributed Computing 2026 DOI: 10.1016/j.jpdc.2026.105227
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• Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs
  2025 IEEE 45th International Conference on Distributed Computing Systems (ICDCS) 2025 DOI: 10.1109/icdcs63083.2025.00088
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• Topology-Aware Aggregation for Federated Graph Learning
  2025 DOI: 10.1007/978-3-031-90203-1_51
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• Performance Trade-offs in GNN Inference: An Early Study on Hardware and Sampling Configurations
  2024 IEEE 31st International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW) 2024 DOI: 10.1109/hipcw63042.2024.00064
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• Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks
  2024 DOI: 10.1007/978-3-031-69766-1_32
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• Performance Modelling of Graph Neural Networks
  2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) 2023 DOI: 10.1109/ccgridw59191.2023.00076
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• To Think Like a Vertex (or Not) for Distributed Training of Graph Neural Networks
  2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) 2023 DOI: 10.1109/ccgridw59191.2023.00082
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